Tools

Table 2: Features of Bayesian Networks

"... In PAGE 3: ...ow (i.e. quot;small quot;) and the probability that it is high (i.e. quot;large quot;). Bayesian networks have a number of features that make them suitable for product design, as shown in Table2 and discussed in the remainder of this section. 3.... ..."

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Table 2: Features of Bayesian Networks

"... In PAGE 3: ...ow (i.e. quot;small quot;) and the probability that it is high (i.e. quot;large quot;). Bayesian networks have a number of features that make them suitable for product design, as shown in Table2 and discussed in the remainder of this section. 3.... ..."

Table2: Free Bayesian network packages.

"... In PAGE 4: ... The home pages for many of the companies listed also contain tutorials on Bayesian networks and archives of example networks. Table2 lists several freely available packages. For more information on available Bayesian network packages see the web sites http://bayes.... ..."

"... In PAGE 4: ... The home pages for many of the companies listed also contain tutorials on Bayesian networks and archives of example networks. Table2 lists several freely available packages. For more information on available Bayesian network packages see the web sites http://bayes.... ..."

Table 1. Performance of Bayesian Belief Network

"... In PAGE 15: ....3.1. Modeling IDS Using Bayesian Classifier Furthermore, Bayesian network classifier is constructed using the training data and then the classifier is used on the test data set to classify the data as an attack or normal. Table1 depicts the performance of Bayesian belief network by using the original 41 variable data set and the 17 variables reduced data set. The training and testing times for each classifier are decreased when 17 variable data set is used.... ..."

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Table 1. Performance of Bayesian Belief Network

"... In PAGE 4: ... Further Bayesian network classifier is constructed using the training data and then the classifier is used on the test data set to classify the data as an attack or normal. Table1 depicts the performance of Bayesian belief network by using the original 41 variable data set and the 17 variables reduced data set. The training and testing times for each classifier are decreased when 17 variable data set is used.... ..."